Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 27, 2024
Abstract
In
the
simulation
analysis
of
large-scale
industrial
instruments
such
as
machine
tools,
in
order
to
ensure
accuracy,
model
parameter
correction
is
necessary.
This
research
presents
a
tool
method
assisted
by
dynamic
evolution
sequence
(DES).
The
first
introduces
generate
uniformly
distributed
sequence,
replacing
traditional
used
Kriging
surrogate
models,
and
constructing
more
accurate
for
tools.
Additionally,
incorporating
instead
random
improves
search
space
coverage
Heterogeneous
Comprehensive
Learning
Particle
Swarm
Optimization
(HCLPSO)
algorithm.
results
numerical
examples
demonstrate
that
finite
element
model,
corrected
using
proposed
method,
accurately
predicts
true
displacement
responses
tool.
offers
new
solution
addressing
static
problems.
Arabian Journal for Science and Engineering,
Journal Year:
2024,
Volume and Issue:
49(5), P. 7029 - 7052
Published: Jan. 23, 2024
Abstract
With
the
increasing
integration
of
renewable
energy
sources
into
distribution
and
transmission
networks,
efficiency
cascade
H-bridge
multilevel
inverters
(MLIs)
in
power
control
applications
has
become
increasingly
significant
for
sustainable
electricity
generation.
Traditionally,
obtaining
optimal
switching
angles
MLIs
to
minimize
total
harmonic
distortion
(THD)
requires
solving
selective
elimination
equations.
To
this
end,
research
aims
use
two
recently
developed
intelligent
optimization
algorithms,
dandelion
optimizer
gold
rush
optimizer,
solve
problem.
evaluate
effectiveness
proposed
an
eleven-level
cascaded
MLI
(CHB-MLI)
was
considered
study.
Simulation
results
different
modulation
indices
were
obtained,
accuracy
solution
quality
compared
with
genetic
algorithm
particle
swarm
algorithms.
MATLAB/Simulink-based
models
used
verify
numerical
computations,
ensuring
reliability
findings.
This
contributes
field
by
providing
insights
minimizing
THD
applying
Energies,
Journal Year:
2023,
Volume and Issue:
16(10), P. 3998 - 3998
Published: May 9, 2023
Shunt
Adaptive
Power
Filter
(SAPF)
is
widely
used
in
the
performance
of
power
quality
improvement
activities
supply
industry
for
processing
industries
or
civil
sources
world
today
based
on
its
simplicity,
transparency,
high
reliability,
efficiency,
and
their
powerful
compensating
current-providing
nature.
The
PI
controller
integrated
into
SAPF
operation
mechanism
works
with
extra
efficiency
selecting
current
to
compensate
lost
generated
due
harmonics
by
Kp,
Ki
parameter
values.
system
operates
PWM
method
bridge
rectifier
circuits
that
perform
function
appropriate
current,
providing
correct
compensation
amount
loss
supply.
Adjusting
reach
optimal
value
different
methods
a
promising
popular
research
direction
at
present.
serves
right
purpose
generate
enough
pulses
excite
rectifiers
just
be
compensated
commonly
adjustment
include
Ziegler
Nichols
closed-loop
vibration
method,
P-Q
theoretical
several
other
methods.
This
study
conducts
comprehensive
review
literature
modern
strategies
adjusting
parameters
suite
using
meta-heuristic
optimization
method.
performs
classification
according
mode
adjust
control
select
frequency
activate
most
meet
goal
improving
accordance
IEEE
519-2022
standard,
leading
total
harmonic
distortion
(THD)
below
5%.
presents
detail
some
algorithms,
including
applications,
mathematical
equations,
implementation
flow
charts
provides
open
problems
future
research.
main
objective
this
provide
an
overview
applying
algorithms
tuning
controllers.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 15, 2025
Abstract
This
article
presents
an
innovative
asymmetric
multilevel
inverter
(MLI)
topology
that
outperforms
conventional
counterparts.
The
introduced
a
breakthrough
in
implementing
power
electronics
control
by
maximizing
specific
levels
while
minimizing
switching
components.
A
cutting-edge
scheme
for
optimal
operation
of
the
cascaded
half-bridge
MLI
is
presented.
ant
lion
optimization
(ALO)
algorithm
was
implemented
to
optimize
reduce
total
harmonic
distortion
(THD)
and
improve
quality.
For
verification,
performance
effectiveness
ALO
technique
are
assessed
comparing
its
results
those
obtained
using
simplified
sinusoidal
pulse
width
modulation
(SSPWM)
technique,
genetic
(GA),
particle
swarm
(PSO)
existing
literature.
Simulation
verified
efficacy
finding
parameters.
suggested
method
showcases
remarkable
reduction
THD
compared
SSPWM.
quality
resulting
waveform
enhanced,
both
filter
size
cost
were
significantly
reduced.
To
meet
stringent
IEEE
standards,
LC
has
been
designed
with
minimal
proper
requirements.
Experimental
validation
scheme,
dSPACE
R&D
controller
board
unequivocally,
confirmed
robustness
effectiveness.
groundbreaking
study
not
only
introduces
superior
but
also
validates
exceptional
through
comprehensive
analysis
experimentation.
experimental
waveforms
showed
good
matching
simulation
outcomes.
findings
hold
immense
promise
advancing
field
system
revolutionizing
designing
implementation
efficient
cost-effective
systems.
Engineering Research Express,
Journal Year:
2025,
Volume and Issue:
7(1), P. 015341 - 015341
Published: Jan. 29, 2025
Abstract
The
reduced
switch
multilevel
inverters
are
used
in
many
applications
specially
renewable
energy
system.
They
have
a
smaller
number
of
semiconductor
devices,
complexity
and
thus
lower
cost
power
losses.
A
reduced-switch
(MLIs)
with
quadruple
boosting
capability
been
investigated
this
study
by
implementing
an
optimized
harmonic
pulse
width
modulation
(OPWM)
technique.
As
example,
nine-level
inverter,
operating
at
fundamental
frequency,
is
analysed
to
reduce
the
dominant
order
harmonics
such
as
third,
fifth,
seventh-order
output
voltage
along
control
on
component.
particle
swarm
optimization
(PSO)
algorithm
employed
obtain
optimize
switching
angles
using
constrained
nonlinear
objective
function.
computational
results
simulate
boost
inverter
shows
significant
reduction
harmonics.
simulation
verified
prototype
inverter.
Energies,
Journal Year:
2025,
Volume and Issue:
18(8), P. 2065 - 2065
Published: April 17, 2025
The
world
is
increasingly
turning
to
renewable
energy
sources
(RES)
address
climate
change
issues
and
achieve
net-zero
carbon
emissions.
Integrating
RES
into
existing
power
grids
necessary
for
sustainability
because
the
unpredictability
irregularity
of
can
affect
grid
stability
generate
quality
issues,
leading
equipment
damage
increasing
operational
costs.
As
a
result,
importance
severely
compromised.
To
tackle
these
challenges,
traditional
systems
(TPS)
will
have
become
more
innovative.
Smart
use
advanced
technology
such
as
two-way
communication
between
consumers
service
providers,
automated
control,
real-time
monitoring
manage
flow
effectively.
Inverters
are
effective
tools
solving
problems
in
renewable-powered
smart
grids.
However,
their
effectiveness
depends
on
topology,
control
method
design.
This
review
paper
focuses
role
multilevel
inverters
(MLIs)
mitigating
voltage
sag,
swell
total
harmonics
distortion
(THD).
results
shown
here
through
simulation
studies
using
DC
but
be
extended
RES-integrated
comprehensive
also
examines
drawbacks
TPS
understand
necessity
developing
system.
Finally,
discusses
future
trends
MLI
technology,
addressing
environments.
International Journal of Emerging Electric Power Systems,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 9, 2024
Abstract
In
this
paper,
a
selective
harmonic
elimination
(SHE)
method
for
an
asymmetric
cascade
H-bridge
multi-level
inverter
(ACHB-MLI)
has
been
performed
by
using
hybrid
search
space
reduction
and
Newton–Raphson
(SSR-NR)
algorithm.
Three
H-bridges
are
cascaded
in
single
phase
configuration,
while
each
of
the
bridge
is
fed
with
V
dc
,
3
6
respectively.
This
particular
combination
sources
will
produce
10
possible
switching
combinations
21-levels
output
voltage
ranging
from
−10
to
+10
.
Hence,
there
be
SHE
equations
corresponding
fundamental
harmonics,
solution
angles
which
satisfy
those
equations.
While
traditional
gradient-based
techniques
like
can
yield
global
optimal
equations,
they
necessitate
initial
guess.
Conversely,
meta-heuristic
methods
often
face
challenges
related
sub-optimal
convergence.
To
address
these
issues,
novel
SSR-NR
algorithm
introduced
paper.
combines
stochastic
deterministic
elements,
offering
promising
solving
first
step,
evolutionary
SSR
used
given
NR
as
guess
converge
final
solution,
way
proposed
able
drawbacks
both
algorithms
such
requirement
convergence
characteristics
algorithms.
The
simulations
were
carried
out
Matlab/simulink
environment
21-level
ACHB-MLI.
results
obtained
showcase
efficacy
For
demonstrating
effectiveness
also
compared
other
particle
swarm
optimization
grey
wolf
optimizer
well.
Further,
experimental
on
laboratory
prototype
dSPACE
DS1104
R&D
controller
board
presented
validate
methodology.
Engineering Reports,
Journal Year:
2024,
Volume and Issue:
6(10)
Published: March 13, 2024
Abstract
The
use
of
a
multilevel
inverter
has
received
significant
attention
in
recent
years
due
to
its
numerous
advantages.
Because
the
widespread
inverters
industries
and
applications
that
require
wide
range
voltages,
achieving
high‐quality
voltage
presented
number
challenges.
Many
studies
have
been
carried
out
address
problem
unwanted
harmonics
inverters.
switching
can
be
done
at
low
frequency
using
Selective
Harmonic
Elimination
(SHE)
technique,
significantly
reduced;
however,
issue
with
SHE
is
solving
transcendental
equations
determining
optimum
angle.
To
this
problem,
new
improved
hybrid
algorithm
proposed
combines
two
evolutionary
algorithms,
gray
wolf
optimization
(GWO)
an
convergence
factor
Differential
evolution
(DE)
dynamic
scaling
crossover
operator.
In
paper,
angles
for
packed
U
cell
5‐level
are
estimated
distinct
modulation
index
values,
simulation
results
compared
different
algorithms.
result
algorithm,
IGWO‐DE
confirmed
through
experiment.
Eng—Advances in Engineering,
Journal Year:
2023,
Volume and Issue:
4(3), P. 1761 - 1786
Published: June 24, 2023
This
paper
presents
the
minimization
of
total
harmonic
distortion
in
a
seven-level
cascaded
H-bridge
multilevel
inverter
with
resistive
load
using
teaching–learning-based
optimization
algorithm.
The
Total
Harmonic
Distortion
(THD)is
challenging
problem
due
to
fact
that
nonlinear
equations
are
involved.
Recently,
bio-inspired
algorithms
have
become
very
popular
approaches
solving
various
problems
different
areas
engineering.
For
this
reason,
results
obtained
Teaching–Learning-Based
Optimization
(TLBO)algorithm
were
compared
three
other
algorithms,
genetic
algorithm,
differential
evolution,
and
particle
swarm
optimization.
comparative
analysis,
conducted
by
sweeping
modulation
index,
made
it
possible
obtain
graphs
data
on
behavior
four
analyzed
algorithms.
Finally,
was
concluded
TLBO
algorithm
is
effective
able
solve
THD-minimization
problem.
Its
main
advantage
over
does
not
require
control
parameters
for
its
correct
operation
solution
